Rachita Nagpal

Work place: Department of I.T, U.I.E.T, Panjab University, Chandigarh, 160014, India

E-mail: rachitanagpal1891@gmail.com


Research Interests: Computer Networks


Rachita Nagpal, a post graduate student of Information Technology, is undergoing a mandatory research in the innovative computing technologies. She is pursuing her master’s degree from U.I.E.T, Panjab University and has pursued her bachelor's degree from Rayat and Bahra College of Engineering and Biotechnology for women. There are two review and two research papers to her credit which have been published in international journals and have been presented in reputed international conferences. She holds a strong interest in the area of Wireless Sensor Networks and is working strongly towards building the stable backbone for delivering the heavier amounts of data.

Author Articles
Modular Approach based Backbone Construction Using STP with CDS

By Rachita Nagpal Roopali Garg

DOI: https://doi.org/10.5815/ijem.2015.03.01, Pub. Date: 8 Sep. 2015

In a dense environment, wireless sensor network (WSN) requires more energy to work in an effective and efficient manner. Hence, energy conservation is the main objective. In the paper, we have proposed a methodology to construct a backbone using modular antennas in combination with spanning tree protocol (STP), graph sampling, and Connecting Dominating Set (CDS) strategy. The backbone construction is based upon the modular antenna based WSNs, where the dominating sets can avoid the intermediate connection in order to reduce the hop count and energy consumption. The dominating sets have been connected using the modular transmission range of the wireless sensor networks to construct the backbone. The dominating set selection procedure to construct the WSN backbone is based upon the degree of connections of the nodes, which enables the locally centralized behavior of the connected dominating sets. The proposed methodology has been proved effective resulting in the construction of an energy efficient backbone.

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